mirror of
https://github.com/lobehub/lobe-chat.git
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✨ feat: add online search support for available providers (#6475)
* ✨ feat: add online search support for available providers * 🔨 chore: rollback changes for minimax
This commit is contained in:
@@ -52,6 +52,7 @@ const ai360ChatModels: AIChatModelCard[] = [
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 8000,
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description:
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@@ -64,6 +65,9 @@ const ai360ChatModels: AIChatModelCard[] = [
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input: 2,
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output: 5,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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@@ -4,6 +4,7 @@ const baichuanChatModels: AIChatModelCard[] = [
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_768,
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description:
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@@ -17,11 +18,15 @@ const baichuanChatModels: AIChatModelCard[] = [
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input: 100,
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output: 100,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_768,
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description:
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@@ -35,11 +40,15 @@ const baichuanChatModels: AIChatModelCard[] = [
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input: 15,
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output: 15,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_768,
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description:
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@@ -53,11 +62,15 @@ const baichuanChatModels: AIChatModelCard[] = [
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input: 0.98,
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output: 0.98,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_768,
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description:
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@@ -70,6 +83,9 @@ const baichuanChatModels: AIChatModelCard[] = [
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input: 12,
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output: 12,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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@@ -20,6 +20,9 @@ const hunyuanChatModels: AIChatModelCard[] = [
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type: 'chat',
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},
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{
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abilities: {
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search: true,
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},
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contextWindowTokens: 32_000,
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description:
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'采用更优的路由策略,同时缓解了负载均衡和专家趋同的问题。长文方面,大海捞针指标达到99.9%。MOE-32K 性价比相对更高,在平衡效果、价格的同时,可对实现对长文本输入的处理。',
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@@ -33,9 +36,15 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 2,
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},
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releasedAt: '2025-02-10',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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search: true,
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},
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contextWindowTokens: 256_000,
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description:
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'采用更优的路由策略,同时缓解了负载均衡和专家趋同的问题。长文方面,大海捞针指标达到99.9%。MOE-256K 在长度和效果上进一步突破,极大的扩展了可输入长度。',
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@@ -49,11 +58,15 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 2,
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},
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releasedAt: '2025-02-10',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_000,
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description:
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@@ -68,11 +81,15 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 50,
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},
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releasedAt: '2025-01-10',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_000,
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description:
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@@ -86,11 +103,15 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 50,
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},
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releasedAt: '2025-01-10',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_000,
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description:
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@@ -104,11 +125,15 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 50,
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},
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releasedAt: '2025-01-10',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_000,
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description:
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@@ -122,9 +147,15 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 50,
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},
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releasedAt: '2024-11-20',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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search: true,
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},
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contextWindowTokens: 32_000,
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description:
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'Hunyuan-large 模型总参数量约 389B,激活参数量约 52B,是当前业界参数规模最大、效果最好的 Transformer 架构的开源 MoE 模型。',
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@@ -138,9 +169,15 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 12,
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},
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releasedAt: '2025-02-10',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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search: true,
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},
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contextWindowTokens: 134_000,
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description:
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'擅长处理长文任务如文档摘要和文档问答等,同时也具备处理通用文本生成任务的能力。在长文本的分析和生成上表现优异,能有效应对复杂和详尽的长文内容处理需求。',
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@@ -154,6 +191,9 @@ const hunyuanChatModels: AIChatModelCard[] = [
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output: 18,
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},
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releasedAt: '2024-12-18',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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@@ -4,6 +4,7 @@ const moonshotChatModels: AIChatModelCard[] = [
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{
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abilities: {
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functionCall: true,
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search: true,
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vision: true,
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},
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contextWindowTokens: 131_072,
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@@ -19,11 +20,15 @@ const moonshotChatModels: AIChatModelCard[] = [
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output: 60,
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},
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releasedAt: '2025-02-17',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 131_072,
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description:
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@@ -35,11 +40,15 @@ const moonshotChatModels: AIChatModelCard[] = [
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input: 60,
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output: 60,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 8192,
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description:
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@@ -51,11 +60,15 @@ const moonshotChatModels: AIChatModelCard[] = [
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input: 12,
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output: 12,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 32_768,
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description:
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@@ -67,11 +80,15 @@ const moonshotChatModels: AIChatModelCard[] = [
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input: 24,
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output: 24,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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},
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contextWindowTokens: 131_072,
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description:
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@@ -83,11 +100,15 @@ const moonshotChatModels: AIChatModelCard[] = [
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input: 60,
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output: 60,
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},
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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vision: true,
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},
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contextWindowTokens: 8192,
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@@ -101,11 +122,15 @@ const moonshotChatModels: AIChatModelCard[] = [
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output: 12,
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},
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releasedAt: '2025-01-14',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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vision: true,
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},
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contextWindowTokens: 32_768,
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@@ -119,11 +144,15 @@ const moonshotChatModels: AIChatModelCard[] = [
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output: 24,
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},
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releasedAt: '2025-01-14',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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search: true,
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vision: true,
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},
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contextWindowTokens: 131_072,
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@@ -137,6 +166,9 @@ const moonshotChatModels: AIChatModelCard[] = [
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output: 60,
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},
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releasedAt: '2025-01-14',
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settings: {
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searchImpl: 'params',
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},
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type: 'chat',
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},
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];
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@@ -2,6 +2,9 @@ import { AIChatModelCard } from '@/types/aiModel';
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const sparkChatModels: AIChatModelCard[] = [
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{
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abilities: {
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search: true,
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},
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contextWindowTokens: 8192,
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description:
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'Spark Lite 是一款轻量级大语言模型,具备极低的延迟与高效的处理能力,完全免费开放,支持实时在线搜索功能。其快速响应的特性使其在低算力设备上的推理应用和模型微调中表现出色,为用户带来出色的成本效益和智能体验,尤其在知识问答、内容生成及搜索场景下表现不俗。',
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@@ -9,9 +12,15 @@ const sparkChatModels: AIChatModelCard[] = [
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enabled: true,
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id: 'lite',
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maxOutput: 4096,
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settings: {
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searchImpl: 'internal',
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},
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type: 'chat',
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},
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{
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abilities: {
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search: true,
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},
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contextWindowTokens: 8192,
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description:
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'Spark Pro 是一款为专业领域优化的高性能大语言模型,专注数学、编程、医疗、教育等多个领域,并支持联网搜索及内置天气、日期等插件。其优化后模型在复杂知识问答、语言理解及高层次文本创作中展现出色表现和高效性能,是适合专业应用场景的理想选择。',
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@@ -19,9 +28,15 @@ const sparkChatModels: AIChatModelCard[] = [
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enabled: true,
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id: 'generalv3',
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maxOutput: 8192,
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settings: {
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searchImpl: 'internal',
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},
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type: 'chat',
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},
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{
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abilities: {
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search: true,
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},
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contextWindowTokens: 131_072,
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description:
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'Spark Pro 128K 配置了特大上下文处理能力,能够处理多达128K的上下文信息,特别适合需通篇分析和长期逻辑关联处理的长文内容,可在复杂文本沟通中提供流畅一致的逻辑与多样的引用支持。',
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@@ -29,11 +44,15 @@ const sparkChatModels: AIChatModelCard[] = [
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enabled: true,
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id: 'pro-128k',
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maxOutput: 4096,
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settings: {
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searchImpl: 'internal',
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},
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type: 'chat',
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},
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{
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abilities: {
|
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functionCall: true,
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search: true,
|
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},
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contextWindowTokens: 8192,
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description:
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@@ -42,11 +61,15 @@ const sparkChatModels: AIChatModelCard[] = [
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enabled: true,
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id: 'generalv3.5',
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maxOutput: 8192,
|
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settings: {
|
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searchImpl: 'internal',
|
||||
},
|
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type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
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contextWindowTokens: 32_768,
|
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description:
|
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@@ -55,11 +78,15 @@ const sparkChatModels: AIChatModelCard[] = [
|
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enabled: true,
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id: 'max-32k',
|
||||
maxOutput: 8192,
|
||||
settings: {
|
||||
searchImpl: 'internal',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 8192,
|
||||
description:
|
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@@ -68,6 +95,9 @@ const sparkChatModels: AIChatModelCard[] = [
|
||||
enabled: true,
|
||||
id: '4.0Ultra',
|
||||
maxOutput: 8192,
|
||||
settings: {
|
||||
searchImpl: 'internal',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
];
|
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|
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@@ -6,6 +6,7 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
{
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||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 8000,
|
||||
description: '高速模型,适合实时对话。',
|
||||
@@ -17,11 +18,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 1,
|
||||
output: 4,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 8000,
|
||||
description: '小型模型,适合轻量级任务。',
|
||||
@@ -33,11 +38,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 5,
|
||||
output: 20,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 32_000,
|
||||
description: '支持中等长度的对话,适用于多种应用场景。',
|
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@@ -49,11 +58,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 15,
|
||||
output: 70,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: '平衡性能与成本,适合一般场景。',
|
||||
@@ -65,11 +78,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 40,
|
||||
output: 200,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 256_000,
|
||||
description: '具备超长上下文处理能力,尤其适合长文档分析。',
|
||||
@@ -80,11 +97,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 95,
|
||||
output: 300,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 16_000,
|
||||
description: '支持大规模上下文交互,适合复杂对话场景。',
|
||||
@@ -96,11 +117,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 38,
|
||||
output: 120,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 8000,
|
||||
description:
|
||||
@@ -114,11 +139,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
output: 2,
|
||||
},
|
||||
releasedAt: '2025-01-14',
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 16_000,
|
||||
description: 'step-2模型的实验版本,包含最新的特性,滚动更新中。不推荐在正式生产环境使用。',
|
||||
@@ -131,11 +160,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
output: 120,
|
||||
},
|
||||
releasedAt: '2025-01-15',
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 8000,
|
||||
@@ -148,11 +181,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 5,
|
||||
output: 20,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 32_000,
|
||||
@@ -164,11 +201,15 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
input: 15,
|
||||
output: 70,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 32_000,
|
||||
@@ -182,6 +223,9 @@ const stepfunChatModels: AIChatModelCard[] = [
|
||||
output: 70,
|
||||
},
|
||||
releasedAt: '2025-01-22',
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
|
||||
@@ -20,6 +20,7 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: 'GLM-4-Flash 是处理简单任务的理想选择,速度最快且免费。',
|
||||
@@ -31,11 +32,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 0,
|
||||
output: 0,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: 'GLM-4-FlashX 是Flash的增强版本,超快推理速度。',
|
||||
@@ -47,11 +52,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 0.1,
|
||||
output: 0.1,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 1_024_000,
|
||||
description: 'GLM-4-Long 支持超长文本输入,适合记忆型任务与大规模文档处理。',
|
||||
@@ -62,11 +71,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 1,
|
||||
output: 1,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: 'GLM-4-Air 是性价比高的版本,性能接近GLM-4,提供快速度和实惠的价格。',
|
||||
@@ -78,11 +91,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 1,
|
||||
output: 1,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 8192,
|
||||
description: 'GLM-4-AirX 提供 GLM-4-Air 的高效版本,推理速度可达其2.6倍。',
|
||||
@@ -94,11 +111,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 10,
|
||||
output: 10,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
@@ -110,11 +131,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 100,
|
||||
output: 100,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: 'GLM-4-Plus 作为高智能旗舰,具备强大的处理长文本和复杂任务的能力,性能全面提升。',
|
||||
@@ -126,11 +151,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 50,
|
||||
output: 50,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: 'GLM-4-0520 是最新模型版本,专为高度复杂和多样化任务设计,表现卓越。',
|
||||
@@ -141,11 +170,15 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 100,
|
||||
output: 100,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
search: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: 'GLM-4 是发布于2024年1月的旧旗舰版本,目前已被更强的 GLM-4-0520 取代。',
|
||||
@@ -156,6 +189,9 @@ const zhipuChatModels: AIChatModelCard[] = [
|
||||
input: 100,
|
||||
output: 100,
|
||||
},
|
||||
settings: {
|
||||
searchImpl: 'params',
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
|
||||
@@ -13,9 +13,22 @@ export const LobeAi360AI = LobeOpenAICompatibleFactory({
|
||||
baseURL: 'https://api.360.cn/v1',
|
||||
chatCompletion: {
|
||||
handlePayload: (payload) => {
|
||||
const { enabledSearch, tools, ...rest } = payload;
|
||||
|
||||
const ai360Tools = enabledSearch ? [
|
||||
...(tools || []),
|
||||
{
|
||||
type: "web_search",
|
||||
web_search: {
|
||||
search_mode: "auto",
|
||||
},
|
||||
}
|
||||
] : tools;
|
||||
|
||||
return {
|
||||
...payload,
|
||||
stream: !payload.tools,
|
||||
...rest,
|
||||
stream: !ai360Tools,
|
||||
tools: ai360Tools,
|
||||
} as any;
|
||||
},
|
||||
},
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
import OpenAI from 'openai';
|
||||
|
||||
import { ChatStreamPayload, ModelProvider } from '../types';
|
||||
import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory';
|
||||
|
||||
@@ -17,14 +15,26 @@ export const LobeBaichuanAI = LobeOpenAICompatibleFactory({
|
||||
baseURL: 'https://api.baichuan-ai.com/v1',
|
||||
chatCompletion: {
|
||||
handlePayload: (payload: ChatStreamPayload) => {
|
||||
const { temperature, ...rest } = payload;
|
||||
const { enabledSearch, temperature, tools, ...rest } = payload;
|
||||
|
||||
const baichuanTools = enabledSearch ? [
|
||||
...(tools || []),
|
||||
{
|
||||
type: "web_search",
|
||||
web_search: {
|
||||
enable: true,
|
||||
search_mode: process.env.BAICHUAN_SEARCH_MODE || "performance_first", // performance_first or quality_first
|
||||
},
|
||||
}
|
||||
] : tools;
|
||||
|
||||
return {
|
||||
...rest,
|
||||
// [baichuan] frequency_penalty must be between 1 and 2.
|
||||
frequency_penalty: undefined,
|
||||
temperature: temperature !== undefined ? temperature / 2 : undefined,
|
||||
} as OpenAI.ChatCompletionCreateParamsStreaming;
|
||||
tools: baichuanTools,
|
||||
} as any;
|
||||
},
|
||||
},
|
||||
debug: {
|
||||
|
||||
@@ -9,6 +9,24 @@ export interface HunyuanModelCard {
|
||||
|
||||
export const LobeHunyuanAI = LobeOpenAICompatibleFactory({
|
||||
baseURL: 'https://api.hunyuan.cloud.tencent.com/v1',
|
||||
chatCompletion: {
|
||||
handlePayload: (payload) => {
|
||||
const { enabledSearch, ...rest } = payload;
|
||||
|
||||
return {
|
||||
...rest,
|
||||
...(enabledSearch && {
|
||||
/*
|
||||
citation: true,
|
||||
enable_multimedia: true,
|
||||
search_info: true
|
||||
*/
|
||||
enable_enhancement: true,
|
||||
enable_speed_search: process.env.HUNYUAN_ENABLE_SPEED_SEARCH === '1',
|
||||
}),
|
||||
} as any;
|
||||
},
|
||||
},
|
||||
debug: {
|
||||
chatCompletion: () => process.env.DEBUG_HUNYUAN_CHAT_COMPLETION === '1',
|
||||
},
|
||||
|
||||
@@ -12,23 +12,14 @@ export const LobeMinimaxAI = LobeOpenAICompatibleFactory({
|
||||
baseURL: 'https://api.minimax.chat/v1',
|
||||
chatCompletion: {
|
||||
handlePayload: (payload) => {
|
||||
const { temperature, top_p, ...params } = payload;
|
||||
const { max_tokens, temperature, top_p, ...params } = payload;
|
||||
|
||||
return {
|
||||
...params,
|
||||
frequency_penalty: undefined,
|
||||
max_tokens: payload.max_tokens !== undefined ? payload.max_tokens : getMinimaxMaxOutputs(payload.model),
|
||||
max_tokens: max_tokens !== undefined ? max_tokens : getMinimaxMaxOutputs(payload.model),
|
||||
presence_penalty: undefined,
|
||||
stream: true,
|
||||
temperature: temperature === undefined || temperature <= 0 ? undefined : temperature / 2,
|
||||
tools: params.tools?.map((tool) => ({
|
||||
function: {
|
||||
description: tool.function.description,
|
||||
name: tool.function.name,
|
||||
parameters: JSON.stringify(tool.function.parameters),
|
||||
},
|
||||
type: 'function',
|
||||
})),
|
||||
top_p: top_p !== undefined && top_p > 0 && top_p <= 1 ? top_p : undefined,
|
||||
} as any;
|
||||
},
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
import OpenAI from 'openai';
|
||||
|
||||
import { ChatStreamPayload, ModelProvider } from '../types';
|
||||
import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory';
|
||||
|
||||
@@ -13,12 +11,23 @@ export const LobeMoonshotAI = LobeOpenAICompatibleFactory({
|
||||
baseURL: 'https://api.moonshot.cn/v1',
|
||||
chatCompletion: {
|
||||
handlePayload: (payload: ChatStreamPayload) => {
|
||||
const { temperature, ...rest } = payload;
|
||||
const { enabledSearch, temperature, tools, ...rest } = payload;
|
||||
|
||||
const moonshotTools = enabledSearch ? [
|
||||
...(tools || []),
|
||||
{
|
||||
function: {
|
||||
name: "$web_search",
|
||||
},
|
||||
type: "builtin_function",
|
||||
}
|
||||
] : tools;
|
||||
|
||||
return {
|
||||
...rest,
|
||||
temperature: temperature !== undefined ? temperature / 2 : undefined,
|
||||
} as OpenAI.ChatCompletionCreateParamsStreaming;
|
||||
tools: moonshotTools,
|
||||
} as any;
|
||||
},
|
||||
},
|
||||
debug: {
|
||||
|
||||
@@ -50,6 +50,10 @@ export const LobeQwenAI = LobeOpenAICompatibleFactory({
|
||||
...(enabledSearch && {
|
||||
enable_search: enabledSearch,
|
||||
search_options: {
|
||||
/*
|
||||
enable_citation: true,
|
||||
enable_source: true,
|
||||
*/
|
||||
search_strategy: process.env.QWEN_SEARCH_STRATEGY || 'standard', // standard or pro
|
||||
},
|
||||
}),
|
||||
|
||||
@@ -11,9 +11,22 @@ export const LobeStepfunAI = LobeOpenAICompatibleFactory({
|
||||
baseURL: 'https://api.stepfun.com/v1',
|
||||
chatCompletion: {
|
||||
handlePayload: (payload) => {
|
||||
const { enabledSearch, tools, ...rest } = payload;
|
||||
|
||||
const stepfunTools = enabledSearch ? [
|
||||
...(tools || []),
|
||||
{
|
||||
function: {
|
||||
description: "use web_search to search information on the internet",
|
||||
},
|
||||
type: "web_search",
|
||||
}
|
||||
] : tools;
|
||||
|
||||
return {
|
||||
...payload,
|
||||
stream: !payload.tools,
|
||||
...rest,
|
||||
stream: !stepfunTools,
|
||||
tools: stepfunTools,
|
||||
} as any;
|
||||
},
|
||||
},
|
||||
|
||||
@@ -1,6 +1,4 @@
|
||||
import OpenAI from 'openai';
|
||||
|
||||
import { ChatStreamPayload, ModelProvider } from '../types';
|
||||
import { ModelProvider } from '../types';
|
||||
import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory';
|
||||
|
||||
import type { ChatModelCard } from '@/types/llm';
|
||||
@@ -14,9 +12,21 @@ export interface ZhipuModelCard {
|
||||
export const LobeZhipuAI = LobeOpenAICompatibleFactory({
|
||||
baseURL: 'https://open.bigmodel.cn/api/paas/v4',
|
||||
chatCompletion: {
|
||||
handlePayload: ({ max_tokens, model, temperature, top_p, ...payload }: ChatStreamPayload) =>
|
||||
({
|
||||
...payload,
|
||||
handlePayload: (payload) => {
|
||||
const { enabledSearch, max_tokens, model, temperature, tools, top_p, ...rest } = payload;
|
||||
|
||||
const zhipuTools = enabledSearch ? [
|
||||
...(tools || []),
|
||||
{
|
||||
type: "web_search",
|
||||
web_search: {
|
||||
enable: true,
|
||||
},
|
||||
}
|
||||
] : tools;
|
||||
|
||||
return {
|
||||
...rest,
|
||||
max_tokens:
|
||||
max_tokens === undefined ? undefined :
|
||||
(model.includes('glm-4v') && Math.min(max_tokens, 1024)) ||
|
||||
@@ -24,6 +34,7 @@ export const LobeZhipuAI = LobeOpenAICompatibleFactory({
|
||||
max_tokens,
|
||||
model,
|
||||
stream: true,
|
||||
tools: zhipuTools,
|
||||
...(model === 'glm-4-alltools'
|
||||
? {
|
||||
temperature:
|
||||
@@ -36,7 +47,8 @@ export const LobeZhipuAI = LobeOpenAICompatibleFactory({
|
||||
temperature: temperature !== undefined ? temperature / 2 : undefined,
|
||||
top_p,
|
||||
}),
|
||||
}) as OpenAI.ChatCompletionCreateParamsStreaming,
|
||||
} as any;
|
||||
},
|
||||
},
|
||||
constructorOptions: {
|
||||
defaultHeaders: {
|
||||
|
||||
Reference in New Issue
Block a user